EXPLORINEER
en

UK — The Register

British fintech Revolut slashes AI coding costs 10x by cutting out Claude and going self-hosted

AI2 min read

British fintech Revolut says it cut its AI coding costs by about 90 percent. It did this by running its own AI models instead of relying mostly on paid services like Claude.

What happened

Revolut moved its AI coding work to self-hosted models, meaning models it runs on its own computers. Its ops and infrastructure lead, David Abitbol, shared the results at the AI Engineer conference in New York. About 2,000 engineers now use the tools. The company first used GLM-5.1 and later moved to GLM-5.3.

Key numbers

  • Coding inference costs fell by roughly 90 percent in less than a year.
  • Coding time improved by 60 percent, and lead time improved by 70 percent.
  • Self-hosting GLM 5.1 cost about $0.30 per million tokens, about a tenth of using OpenAI's Codex or Anthropic's Claude Code.
  • Revolut runs GLM-5.3 on 56 Nvidia B200 GPUs (graphics chips used for AI work).
  • The team reached a time to first token under 3 seconds and about 200 tokens per second.

Why the switch happened

At first, Revolut was wary of AI costs. Some engineers spent $1,000 to $10,000 a month with little return. So the company set strict budget limits. That meant engineers had few tokens (the small chunks of text an AI model reads and writes). Once Revolut tried self-hosting, tokens became cheap. Engineers stopped worrying about how many they used.

Why it matters

The story shows that cheap AI can change how people work. Abitbol said the biggest gains did not come from writing code faster. They came from using AI for debugging and for handling tickets in tools like Jira. It also shows that running a big model yourself takes real skill. Revolut said that tuning the setup mattered more than adding more chips. It also found that a very long context window is not always useful.

What to watch

  • Whether other companies copy Revolut's move to self-hosted models.
  • How the costs and speed hold up as more engineers use the system.
  • Whether the gains in coding time and lead time last over the long run.

Glossary

Revolut
A British fintech company, which means a company that offers money and banking services through technology apps.
Claude
An AI model made by Anthropic that can be used for tasks like writing and coding.
GLM-5.1
An open weights AI model made by Chinese developer Z.ai. Open weights means the model's trained settings are shared publicly.
Jira
A software tool that teams use to track tasks and tickets.

Ad

Add 150 words. Learn 10 a day.

Dicter word books send only the words you learn to your review notes.

AIITmedia

Google to Turn Off AI Features for School Students by Default; Critics Say Google Search Without AI Can't Be Chosen

Google announced on November 3 (local time) that AI features, including Gemini and Google Search, will be off by default for K-12 student accounts until school administrators explicitly enable them. However, AI features built into Google Search cannot be disabled on their own, so schools that opt out of AI would also lose access to Google Search, drawing criticism. According to the New York Times, the change is expected to take effect in early 2027.

AIThe Verge

Please stop asking me when the AI bubble will pop

The Verge's Elizabeth Lopatto says she doesn't know when the AI bubble will burst, and points to a Bloomberg roundup of warnings from the 2026 Global Financial Leaders' Investment Summit in Hong Kong. PIMCO's CEO said an AI downturn is coming and "then things are going to break," while Apollo also flagged AI risk. Lopatto notes that heavy AI-related bond sales from Meta, Oracle, Alphabet and Microsoft continue, even as caution grows.

AITechCrunch

Anthropic is working on a system to prove AI models’ identity

Anthropic is developing FlashProve, an open source system that uses cryptographic proofs to verify which AI model produced a given output. Labs would publish a model "fingerprint" that does not reveal model weights, allowing users and third parties to check claims about which model was used, including with commercial models. The research is ongoing, and Anthropic has no plans to deploy the system at Anthropic or any other lab; its code and specification are publicly available on GitHub.

AIThe Verge

OpenAI says ChatGPT is catching up to Google in search

OpenAI says the volume of search queries run through ChatGPT now equals 20 percent of the volume run through Google, according to ChatGPT consumer product lead Adam Fry at a press event. Fry defined a search as any query that results in a web search, and did not specify the source of the Google figure. He also said ads have not negatively affected ChatGPT usage, and that OpenAI plans to introduce images of sponsored products in ChatGPT.